Abstract
The endeavor of this work is to support the special education community in their quest to be with the mainstream. The initial segment of the paper gives an exhaustive study of the different mechanisms of diagnosing learning disability. After diagnosis of learning disability the further classification of learning disability that is dyslexia, dysgraphia or dyscalculia are fuzzy. Hence the paper proposes a model based on Fuzzy Expert System which enables the classification of learning disability into its various types. This expert system facilitates in simulating conditions which are otherwise imprecisely defined.
Highlights
A Fuzzy Approach To Classify Learning DisabilityAbstract -The endeavor of this work is to support the special education community in their quest to be with the mainstream
Learning disability refers to a neurobiological disorder which affects a person‘s brain and interferes with a person's ability to think and remember [1]
As more data is added to the database, the system‘s accuracy increases.Initially when the database had 10 records as Training Set, it gave an accuracy of 50%, i.e. the system correctly classified Learning Disabilities 50% accurately.When data in the system training set was increased to 20, the accuracy rate went up to 60% and so on.For 70 data in the Training set, the system is giving an accuracy of 90%
Summary
Abstract -The endeavor of this work is to support the special education community in their quest to be with the mainstream. The initial segment of the paper gives an exhaustive study of the different mechanisms of diagnosing learning disability. After diagnosis of learning disability the further classification of learning disability that is dyslexia, dysgraphia or dyscalculia are fuzzy. The paper proposes a model based on Fuzzy Expert System which enables the classification of learning disability into its various types. This expert system facilitates in simulating conditions which are otherwise imprecisely defined
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